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The assessment of quality of life (QoL) in patients with psoriasis plays a crucial role in understanding the impact of the disease and evaluating treatment outcomes. We provide an overview of the key measures used to assess QoL in psoriasis patients, including both generic and psoriasis-specific instruments. The limitations and strengths of instruments such as the Dermatology Life Quality Index (DLQI), Skindex, and Psoriasis Disability Index (PDI) are discussed, highlighting their psychometric properties and areas for improvement. Furthermore, this review examines the potential of disease-specific QoL measures in providing greater sensitivity to disease-related burden and change compared to generic instruments. However, most of the available psoriasis-specific patient-reported outcome measures need further validation. We aim to provide valuable insights into the importance of using validated QoL measures in clinical practice and research, ultimately contributing to a more comprehensive assessment of the impact of psoriasis on patients' lives and enhancing the evaluation of treatment interventions.

Background: Psoriasis is a chronic inflammatory skin condition that affects millions of individuals worldwide, impacting their physical and emotional well-being. The management of psoriasis requires effective communication and a strong physician-patient relationship. Objective: We aim to develop a novel algorithm to enhance patient well-being and care in moderate-to-severe psoriasis, considering the time constraints that dermatologists have in public hospitals. Methods: This project employed a multidisciplinary approach, involving collaboration between 14 experienced dermatologists (referred to as Key Opinion Leaders: KOLs) and a psychologist. During three separate meetings (an initial virtual session, a face-to-face meeting, and a final virtual meeting), an algorithm (Embracing Patients' Well-being in their Journey of Moderate-to-Severe psoriasis: EMPATHY), describing the patient's reception through the entire first visit and follow-up visits, was developed and refined. Results: The EMPATHY algorithm provides a step-by-step approach from the moment the patient arrives at reception, through the first visit and on to subsequent visits. This algorithm fills a critical gap in the existing guidelines by specifically addressing how to foster empathy during psoriasis patient visits within time-limited consultations. The algorithm outlines patient-centered strategies at each visit. Key aspects include creating a welcoming environment, active listening, respecting privacy, tailoring communication styles, and managing patient expectations. Conclusions: The EMPATHY algorithm represents a novel and promising approach to improving patient care and well-being in moderate-to-severe psoriasis. Developed together by dermatologists and a psychologist, this algorithm offers healthcare providers practical guidance for managing both initial and follow-up patient visits. While further validation is necessary, the potential for adapting the EMPATHY algorithm to diverse healthcare settings and patient populations holds promise for improving patient outcomes across various chronic conditions.